Beginning Data Science with R (Paperback, Softcover reprint of the original 1st ed. 2014)

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library. The goal of “Beginning Data Science with R� is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2017
First published:	2014
Authors:	Manas A. Pathak
Dimensions:	235 x 155 x 9mm (L x W x T)
Format:	Paperback
Pages:	157
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-3-319-37473-4
Categories:	Books > Computing & IT > General Books > Professional & Technical > Technology: general issues > General Books > Professional & Technical > Other technologies > General
LSN:	3-319-37473-7
Barcode:	9783319374734

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